Virtualization of metadata for file optimization
    1.
    发明授权
    Virtualization of metadata for file optimization 有权
    用于文件优化的元数据的虚拟化

    公开(公告)号:US08224831B2

    公开(公告)日:2012-07-17

    申请号:US12038219

    申请日:2008-02-27

    IPC分类号: G06F7/00 G06F17/30

    摘要: Mechanisms are provided for optimizing files while allowing application servers access to metadata associated with preoptimized versions of the files. During file optimization involving compression and/or compaction, file metadata changes. In order to allow file optimization in a manner transparent to application servers, the metadata associated with preoptimized versions of the files is maintained in a metadata database as well as in an optimized version of the files themselves.

    摘要翻译: 提供了优化文件的机制,同时允许应用程序服务器访问与优化版本的文件相关联的元数据。 在涉及压缩和/或压缩的文件优化过程中,文件元数据更改。 为了以对应用服务器透明的方式允许文件优化,与文件的优化版本相关联的元数据被保存在元数据数据库以及文件本身的优化版本中。

    Methods and Apparatus for Reducing Storage Size

    公开(公告)号:US20080154928A1

    公开(公告)日:2008-06-26

    申请号:US11774333

    申请日:2007-07-06

    IPC分类号: G06F7/06 G06F17/30

    摘要: Prediction-based compression engines are spoon-fed with sequentially efficiently compressible (SEC) streams of input data that make it possible for the compression engines to more efficiently compress or otherwise compact the incoming data than would be possible with streams of input data accepted on a TV-raster scan basis. Various techniques are disclosed for intentionally forming SEC input data streams. Among these are the tight packing of alike files or fragments into concatenation suitcases and the decomposition of files into substantially predictably consistent (SPC) fragments or segments that are routed to different suitcases according to their type. In a graphics-directed embodiment, image frames are partitioned into segment areas that are internally SPC and multidirectional walks (i.e., U-turning walks) are defined in the segment areas where these defined walks are traced during compression and also during decompression. A variety of pre-compression data transformation methods are disclosed for causing apparently random data sequences to appear more compressibly alike to each other. The methods are usable in systems that permit substantially longer times for data compaction operations than for data decompaction operations.